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README.md
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@@ -79,13 +79,13 @@ Data preprocessing involved tokenization using DeBERTa's tokenizer, padding to a
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#### Training Hyperparameters
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Training Hyperparameters
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Batch size
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Learning rate
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Epochs
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Optimizer
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### Results
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The model achieved the following accuracy scores:
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Emotion Detection
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Polarity Classification
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Hate Speech Detection
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#### Training Hyperparameters
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Training Hyperparameters
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-**Batch size**: 32
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-**Learning rate**: 5e-5
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-**Epochs**: 10
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-**Optimizer**: AdamW
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### Results
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The model achieved the following accuracy scores:
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-**Emotion Detection**: 92%
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-**Polarity Classification**: 95%
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-**Hate Speech Detection**: 99%
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